Oncology | Radiology Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation. May 28, 2024
Cardiology | Radiology Deep learning-based workflow for automatic extraction of atria and epicardial adipose tissue on cardiac computed tomography in atrial fibrillation. February 21, 2024
Oncology | Radiology Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis. February 10, 2024
Oncology | Radiology Radiomics of metastatic brain tumor as a predictive image biomarker of progression-free survival in patients with non-small-cell lung cancer with brain metastasis receiving tyrosine kinase inhibitors. November 20, 2023
Neurosurgery | Radiology Federated Learning: A Cross-Institutional Feasibility Study of Deep Learning Based Intracranial Tumor Delineation Framework for Stereotactic Radiosurgery. August 12, 2023
Oncology | Radiology Predicting survival after radiosurgery in patients with lung cancer brain metastases using deep learning of radiomics and EGFR status. March 1, 2023
Oncology | Radiology A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer. January 20, 2023
Neurosurgery | Oncology | Radiology Application of artificial intelligence to stereotactic radiosurgery for intracranial lesions: detection, segmentation, and outcome prediction. January 12, 2023
Medical Imaging | Neurology | Oncology | Radiology Lesion delineation framework for vestibular schwannoma, meningioma and brain metastasis for gamma knife radiosurgery using stereotactic magnetic resonance images. December 28, 2022
Oncology | Radiology Radiomics-Based Deep Learning Prediction of Overall Survival in Non-Small-Cell Lung Cancer Using Contrast-Enhanced Computed Tomography. August 12, 2022
Neurosurgery | Radiology Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery. February 5, 2021
Radiology Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. August 23, 2020